Smartphone Addiction and Sleep Quality Associated with Depression in University Students in Japan

Satoko Ezoe, Tadayuki Iida, Ken Inoue and Masahiro Toda
Additional contact information
Satoko Ezoe: Health Service Center Izumo, Shimane University, Shimane, Japan
Tadayuki Iida: Prefectural University of Hiroshima, Hiroshima, Japan
Ken Inoue: Kochi University, Kochi, Japan
Masahiro Toda: Graduate School of Human Life Sciences, Notre Dame Seishin University, Okayama, Japan & Department of Public Health, Wakayama Medical University, Wakayama, Japan

International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 2019, vol. 9, issue 4, 22-31

Abstract: Smartphones have developed rapidly in recent years, with their use becoming widespread and an established part of daily life. Along with the development of various applications, smartphone addiction or dependence has been routinely reported, and indicated to be associated with such conditions as sleep problems and depression. In order to examine the relationships of smartphone use, sleep quality, chronotype, and physical exercise, with a depressive state, the authors administered a self-reporting questionnaire survey, which included the Japanese version of the Smartphone Dependence Scale (J-SDS), the Pittsburg Sleep Quality Index (PSQI), the Morningness-Eveningness Questionnaire (MEQ), and the Beck Depression Inventory (BDI), to 119 university students in Japan. Results of multivariate logistic regression analysis indicated that scores for the J-SDS and PSQI were significantly related to BDI score. These findings suggest that smartphone addiction and poor sleep quality are associated with the depressive state in students in Japan.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJCBPL.2019100102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jcbpl0:v:9:y:2019:i:4:p:22-31

Access Statistics for this article

International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) is currently edited by Nadia Mansour Bouzaida

More articles in International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) from IGI Global
Bibliographic data for series maintained by Journal Editor ().